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What is the most surprising finding in your research?

  • MedPodGPT Research: It is surprising to see that leveraging medical podcast data into LLM significantly boosts its ability to process medical information, making it an invaluable tool for education and research [1].
  • Image Quality Assessment Research: Mimicking the long-dependency perception of Human Visual System, the Non-local Modeling enhances image quality assessment [1].
  • EEG Research: By cooperating with the functional topological relationship of electrodes, the decoding performance of raw EEG signals is improved [1, 2].

Shuyue's github activity graph

Fast access to some projects

Source codes of all my works will be shared on GitHub, the trained models and datasets will be released on ๐Ÿค— Hugging Face, and some of my applied research on Vision and Language will be developed as Web or Android/iOS mobile apps.

Boston University: mostly Multimodal Foundation Models and Generative AI research

Topic 1: Large Language Models (LLMs):


Topic 2: Large Multimodal Models (LMMs/MM-LLMs): We will be deploying all our Multimodal Foundation Models on our MedPodGPT platform.


Topic 3: Medical Imaging with AI:

  • ๐Ÿ–ผ๏ธ ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐Œ๐ž๐๐ข๐œ๐š๐ฅ ๐ˆ๐ฆ๐š๐ ๐ข๐ง๐  ๐•๐ข๐ฌ๐ฎ๐š๐ฅ๐ข๐ณ๐ž๐ซ - Online Medical Imaging Visualizer (based on Papaya)

City University of Hong Kong: mostly Computer Vision research

Northeast Electric Power University: mostly Deep Learning research

Philips Research: mostly Natural Language Processing research

Others:

Shuyue Jia (Bruce)'s Projects

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-mixture-of-experts icon awesome-mixture-of-experts

Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)

bigscience icon bigscience

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

biomedgpt icon biomedgpt

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks

caique-iqa icon caique-iqa

CAIQUE: Context-Aware Image QUality assEssment (Context-aware Non-local Compensation for No-reference Image Quality Assessment)

chain-of-thought-hub icon chain-of-thought-hub

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

co-evolve-llms icon co-evolve-llms

Co-evolution of LLMs via Adversarial Learning for Mathematical Reasoning

decryptprompt icon decryptprompt

ๆ€ป็ป“Prompt&LLM่ฎบๆ–‡๏ผŒๅผ€ๆบๆ•ฐๆฎ&ๆจกๅž‹๏ผŒAIGCๅบ”็”จ

demo_links icon demo_links

Over the years, I have written a lot of research and engineering prototype/products, scattered all over the Web. I organize them in this repository

eeg-bayesiancnn icon eeg-bayesiancnn

This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

eeg-dl icon eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

gemma icon gemma

Open weights LLM from Google DeepMind.

gemma_pytorch icon gemma_pytorch

The official PyTorch implementation of Google's Gemma models

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